Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
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SHR Neuro Krebs Kardio Lipid Stoffw Microb
Winkler, TW; Rasheed, H; Teumer, A; Gorski, M; Rowan, BX; Stanzick, KJ; Thomas, LF; Tin, A; Hoppmann, A; Chu, AY; Tayo, B; Thio, CHL; Cusi, D; Chai, JF; Sieber, KB; Horn, K; Li, M; Scholz, M; Cocca, M; Wuttke, M; van, der, Most, PJ; Yang, Q; Ghasemi, S; Nutile, T; Li, Y; Pontali, G; Günther, F; Dehghan, A; Correa, A; Parsa, A; Feresin, A; de, Vries, APJ; Zonderman, AB; Smith, AV; Oldehinkel, AJ; De, Grandi, A; Rosenkranz, AR; Franke, A; Teren, A; Metspalu, A; Hicks, AA; Morris, AP; Tönjes, A; Morgan, A; Podgornaia, AI; Peters, A; Körner, A; Mahajan, A; Campbell, A; Freedman, BI; Spedicati, B; Ponte, B; Schöttker, B; Brumpton, B; Banas, B; Krämer, BK; Jung, B; Åsvold, BO; Smith, BH; Ning, B; Penninx, BWJH; Vanderwerff, BR; Psaty, BM; Kammerer, CM; Langefeld, CD; Hayward, C; Spracklen, CN; Robinson-Cohen, C; Hartman, CA; Lindgren, CM; Wang, C; Sabanayagam, C; Heng, CK; Lanzani, C; Khor, CC; Cheng, CY; Fuchsberger, C; Gieger, C; Shaffer, CM; Schulz, CA; Willer, CJ; Chasman, DI; Gudbjartsson, DF; Ruggiero, D; Toniolo, D; Czamara, D; Porteous, DJ; Waterworth, DM; Mascalzoni, D; Mook-Kanamori, DO; Reilly, DF; Daw, EW; Hofer, E; Boerwinkle, E; Salvi, E; Bottinger, EP; Tai, ES; Catamo, E; Rizzi, F; Guo, F; Rivadeneira, F; Guilianini, F; Sveinbjornsson, G; Ehret, G; Waeber, G; Biino, G; Girotto, G; Pistis, G; Nadkarni, GN; Delgado, GE; Montgomery, GW; Snieder, H; Campbell, H; White, HD; Gao, H; Stringham, HM; Schmidt, H; Li, H; Brenner, H; Holm, H; Kirsten, H; Kramer, H; Rudan, I; Nolte, IM; Tzoulaki, I; Olafsson, I; Martins, J; Cook, JP; Wilson, JF; Halbritter, J; Felix, JF; Divers, J; Kooner, JS; Lee, JJ; O'Connell, J; Rotter, JI; Liu, J; Xu, J; Thiery, J; Ärnlöv, J; Kuusisto, J; Jakobsdottir, J; Tremblay, J; Chambers, JC; Whitfield, JB; Gaziano, JM; Marten, J; Coresh, J; Jonas, JB; Mychaleckyj, JC; Christensen, K; Eckardt, KU; Mohlke, KL; Endlich, K; Dittrich, K; Ryan, KA; Rice, KM; Taylor, KD; Ho, K; Nikus, K; Matsuda, K; Strauch, K; Miliku, K; Hveem, K; Lind, L; Wallentin, L; Yerges-Armstrong, LM; Raffield, LM; Phillips, LS; Launer, LJ; Lyytikäinen, LP; Lange, LA; Citterio, L; Klaric, L; Ikram, MA; Ising, M; Kleber, ME; Francescatto, M; Concas, MP; Ciullo, M; Piratsu, M; Orho-Melander, M; Laakso, M; Loeffler, M; Perola, M; de, Borst, MH; Gögele, M; Bianca, M; Lukas, MA; Feitosa, MF; Biggs, ML; Wojczynski, MK; Kavousi, M; Kanai, M; Akiyama, M; Yasuda, M; Nauck, M; Waldenberger, M; Chee, ML; Chee, ML; Boehnke, M; Preuss, MH; Stumvoll, M; Province, MA; Evans, MK; O'Donoghue, ML; Kubo, M; Kähönen, M; Kastarinen, M; Nalls, MA; Kuokkanen, M; Ghanbari, M; Bochud, M; Josyula, NS; Martin, NG; Tan, NYQ; Palmer, ND; Pirastu, N; Schupf, N; Verweij, N; Hutri-Kähönen, N; Mononen, N; Bansal, N; Devuyst, O; Melander, O; Raitakari, OT; Polasek, O; Manunta, P; Gasparini, P; Mishra, PP; Sulem, P; Magnusson, PKE; Elliott, P; Ridker, PM; Hamet, P; Svensson, PO; Joshi, PK; Kovacs, P; Pramstaller, PP; Rossing, P; Vollenweider, P; van, der, Harst, P; Dorajoo, R; Sim, RZH; Burkhardt, R; Tao, R; Noordam, R; Mägi, R; Schmidt, R; de, Mutsert, R; Rueedi, R; van, Dam, RM; Carroll, RJ; Gansevoort, RT; Loos, RJF; Felicita, SC; Sedaghat, S; Padmanabhan, S; Freitag-Wolf, S; Pendergrass, SA; Graham, SE; Gordon, SD; Hwang, SJ; Kerr, SM; Vaccargiu, S; Patil, SB; Hallan, S; Bakker, SJL; Lim, SC; Lucae, S; Vogelezang, S; Bergmann, S; Corre, T; Ahluwalia, TS; Lehtimäki, T; Boutin, TS; Meitinger, T; Wong, TY; Bergler, T; Rabelink, TJ; Esko, T; Haller, T; Thorsteinsdottir, U; Völke ....
Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals.
COMMUN BIOL. 2022; 5(1): 580
Doi: 10.1038/s42003-022-03448-z
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- Co-Autor*innen der Med Uni Graz
- Hofer Edith
- März Winfried
- Rosenkranz Alexander
- Schmidt Helena
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- Abstract:
- Reduced glomerular filtration rate (GFR) can progress to kidney failure. Risk factors include genetics and diabetes mellitus (DM), but little is known about their interaction. We conducted genome-wide association meta-analyses for estimated GFR based on serum creatinine (eGFR), separately for individuals with or without DM (nDM = 178,691, nnoDM = 1,296,113). Our genome-wide searches identified (i) seven eGFR loci with significant DM/noDM-difference, (ii) four additional novel loci with suggestive difference and (iii) 28 further novel loci (including CUBN) by allowing for potential difference. GWAS on eGFR among DM individuals identified 2 known and 27 potentially responsible loci for diabetic kidney disease. Gene prioritization highlighted 18 genes that may inform reno-protective drug development. We highlight the existence of DM-only and noDM-only effects, which can inform about the target group, if respective genes are advanced as drug targets. Largely shared effects suggest that most drug interventions to alter eGFR should be effective in DM and noDM.
- Find related publications in this database (using NLM MeSH Indexing)
- Creatinine - administration & dosage
- Diabetes Mellitus - administration & dosage
- Diabetic Nephropathies - genetics
- Genome-Wide Association Study - administration & dosage
- Glomerular Filtration Rate - genetics
- Humans - administration & dosage
- Kidney - administration & dosage